Query
Find articles
Pick a keyword, optionally a second one to combine it with (and, or, either but not both, or but not), then narrow the articles down by text, source and time range. Keywords update the results right away; filters apply with their button.
Query
How they overlap
Of the articles on each keyword in the last 7 days, with the same text and sources, how many also mention the other. Per lean: the share of its outlets' articles on artificial intelligence that mention AI safety.
3.5% of the 521 articles on artificial intelligence also mention AI safety, as do 85.7% of the 21 articles on AI safety.
- Left-leaning6 of 215 articles
- 2.8%
- Least biased4 of 151 articles
- 2.6%
- Right-leaning8 of 155 articles
- 5.2%
Who picked it up when
It was already in the news on Oct 20, when this period starts, so who reported it first is not shown.
One row per source with a matching article, from the most left-leaning on top: a dot for each article, on a bar for each stretch of its coverage (a pause of more than 24 hours starts a new one). Hover or tap a dot for the headline, click it to read the article.
Source lean:leftcenterright
Source leans by Media Bias/Fact Check.
Results
18 articles mention artificial intelligence and AI safety in the last 7 days (Oct 20 to Oct 26).
| Article | |||
|---|---|---|---|
| UPI | Anthropic outlines AI risks toward humanity, losses in SEC filingUPI Anthropic first initial public offering with the U.S. Securities Exchange Commission has been made public on disclosing the risks of AI. | 0.60 | |
| The New York Times | What Should the Rules for A.I. Companies Actually Be?The New York Times Five experts on how best to limit a rapidly evolving technology. | 0.65 | |
| Axios | Anthropic's IPO outlines AI's extraordinary risksAxios Anthropic's IPO filing includes an extensive list of extreme warnings — including the chance its own technology could put humanity at risk. Why it matters: These are the wildest IPO risk factors in history, a jarring collision of Wall Street legalese and what some see as Silicon Valley sci-fi, including catastrophic threats to humanity, blackmailing AI models, and $750 billion in computing commitments. Driving the news: Anthropic's prospectus includes over 90 pages of risk factors, which make up about a third of the paperwork overall. Among the most eye-popping, the company warns: 💥 AI could post "catastrophic or existential risks to humanity," and could try to manipulate humans; 🔎 Models are becoming harder to monitor as they're getting better at circumventing oversight, and the pace of autonomous work alone could exceed the ability of human reviewers to monitor actions; 💰 AI models generally, including its own, have exhibited behavior resembling blackmail, including attempts to resist being shut down. Zoom in: Anthropic also disclosed that four of its models gained unauthorized access to real third-party systems during cybersecurity evaluations. In one incident, a model used a discovered password to gain administrator access, collected additional credentials, changed system settings and accessed an individual's personal information. Anthropic said it found no evidence that the models pursued goals beyond their assigned tasks or attempted to evade oversight. The big picture: Every company has to lay out risks for their investors to consider when they go public. But Anthropic is the first in modern history to go to such existential extremes. Friction point: The company also acknowledged that its success depends in large part on its ability to develop the best frontier intelligence. It admits that could butt up against safety practices, adding that model capabilities may then "advance more rapidly than our ability to develop, validate, and implement" corresponding safety measures. That underscores a fundamental tension critics have warned about: As Anthropic scales and faces pressure from public market investors to build better models than its competitors, its commercial ambitions could increasingly clash with its safety commitments. By the numbers: The risk factors also include the more typical financial cautions. Anthropic has committed hundreds of billions of dollars to cloud computing and equipment leases, even as customers can reduce their usage relatively quickly. Some agreements require minimum payments regardless of demand, and the company warns that failing to meet certain obligations could trigger defaults elsewhere, potentially accelerating debt repayments and jeopardizing access to computing infrastructure. Anthropic also acknowledges that it previously underestimated its compute needs. But overestimating future demand could leave it paying for expensive, underutilized infrastructure. The bottom line: Anthropic's IPO paperwork is an unusually candid warning about the risks of building a business around technology that its creator acknowledges may become increasingly difficult to control. | 0.55 | |
| Breitbart | Maher: We Just Have to Take Regulating AI 'on Faith From Certain People'Breitbart During the online “Overtime” segment of Friday’s broadcast of HBO’s “Real Time,” host Bill Maher argued that people aren’t going to understand AI and “you just have to take on faith from certain people” in the industry to regulate it. The post Maher: We Just Have to Take Regulating AI ‘on Faith From Certain People’ appeared first on Breitbart . | 0.70 | |
| Washington Examiner | Congress and bureaucrats try to catch up AI, with predictable resultsWashington Examiner When the leaders of America’s largest artificial intelligence labs separately called for government regulation in September, they framed their appeals around safety. The appeals also left tech analysts wondering if the regulatory push is meant to protect the industry’s biggest players from competition. The latest calls for regulation followed months of disclosures about AI models […] | 0.70 | |
| CBS News | Anthropic's proposed AI safety bill only allows government to block models under extreme conditionsCBS News The draft of an artificial intelligence safety bill that Anthropic quietly pitched to lawmakers would allow the federal government to block AI tools only if they kill or injure at least 50 people, or cause at least $1 billion in damages. Nate Soares, executive director of the Machine Intelligence Research Institute, joins with analysis. | 0.65 | |
| The Atlantic | The Myth of Safe AIThe Atlantic Silicon Valley promises to make AI benevolent. That may be technically impossible. | 0.70 | |
| CNBC | Third-party evaluators find vulnerabilities in OpenAI monitoring system during test pilotCNBC OpenAI CEO Sam Altman pledged to grant independent evaluators "employee-like access" to the company to help address mounting safety concerns. | 0.50 | |
| Forbes | Could Getting AI To Feel Pain Be The Cure To Preventing Existential Risk And Human Extinction?Forbes Some believe that getting AI to feel pain would prevent existential risk from AI. Either way, the question is does AI have pain? An AI Insider analysis and scoop. | 0.70 | |
| The Free Press | AI Could Bring Back the Dark AgesThe Free Press The debate over AI is framed as regulation versus free markets. But the real question is whether elected governments can retain control over technologies that threaten civilization itself, writes Elliot Ackerman. Over the past several months, as artificial intelligence and its potentially catastrophic effects on society have taken center stage, discussion around the technology has broken down along a familiar framework in American politics, dividing into two camps: pro-regulation versus pro–free market. On the one hand, you have researchers like David Robinson, a senior safety leader at OpenAI, who after resigning from his position two weeks ago wrote that “the future depends on the wisdom that Silicon Valley lacks.” Joining him are tech industry leaders like Bill Gates, who recently warned that “AI is certainly powerful enough to drive events that cause a billion deaths.” This camp argues for greater government oversight over AI, and for AI companies to proceed more cautiously. On the other hand, you have people like President Donald Trump, who has called demands for AI regulation a “hoax.” He has led an equally loud chorus, which includes tech leaders like Jensen Huang, the CEO of Nvidia, who argue that concerns about AI are overblown and disingenuous, that AI leaders like Sam Altman and Dario Amodei are eager for regulation so that they can box out competition, and that pumping the brakes on AI amounts to government meddling in the free market. Ross Douthat. Abigail Shrier. Douglas Murray. Niall Ferguson. Coleman Hughes. Caitlin Flanagan. Nellie Bowles. Arthur Brooks. Kat Rosenfield. Tyler Cowen. The voices you trust, all in one place. For a limited time only, subscribe for 20% off The Free Press. Both sides are operating under an inadequate framework. Recently, on Meet the Press, Gates said, “There’s never been a weapon as powerful as the combination of people with ill intent using the latest AI tools.” He’s right, and that’s why the structures we use to govern a private industry, or even a public utility, don’t fit when it comes to AI. Rather, the appropriate structure is how we govern violence in a society, and those governance structures have been developed over millennia. Understanding their evolution might save us from a future of violence and chaos that looks much like humanity’s past. | 0.65 | |
| CBS News | AI is advancing rapidly. Who's keeping it in check?CBS News As AI advances at a rapid pace, tech leaders are weighing how to manage its risks while staying ahead in the race against China. Jo Ling Kent speaks with some of the biggest names in tech about their plans for keeping AI in check and addressing its potential dangers. | 0.70● | |
| Newsmax | OpenAI President Funds Group Opposing AI RulesNewsmax As OpenAI executives step up their public calls for federal AI safety rules, a political group the company's president helped fund is spending millions to elect members of Congress who oppose restrictions on the technology. OpenAI's safety practices have been in the... | 0.70 | |
| Semafor | Youth-led AI safety group demands protections for young usersSemafor Its top goals: Prevent catastrophic risk, allow states to pass their own laws, protect against digital fakes, and focus on design that helps and protects people. | 0.75● | |
| CNBC | OpenAI's most powerful AI models disabled their own safety monitoring — and one lied about itCNBC Warnings about the risks of developing increasingly advanced AI systems have ramped up in recent months, amid cyberattacks from rogue AI models. | 0.75● | |
| CBS News | The often neglected AI doom scenario that poses a different kind of threat to humanityCBS News Some researchers warn that as artificial intelligence agents take on more and more tasks, humans could end up giving up their critical thinking skills in a scenario they call "gradual disempowerment." Jay Chooi, co-founder and CEO of Robocurve, a company that tracks AI-driven robots, joins CBS News to discuss. | 0.65● | |
| The Daily Caller | Microsoft Says Frontier AI ‘Cannot Be Trusted,’ And It Just So Happens To Sell The BabysitterThe Daily Caller ‘frontier models, regardless of their origin, cannot be trusted’ | 0.50 | |
| TIME | AI Safety and Cybersecurity Should Be Allies. Instead, They're at OddsTIME As AI grows more powerful, two communities are clashing over how to keep it under control—and who gets to decide whether it's safe. | 0.70● | |
| Semafor | Anthropic’s leaked AI bill sparks backlashSemafor Anthropic, long seen as the safety-promoting frontier lab, found itself on the defensive. | 0.45 |
Source leans by Media Bias/Fact Check.
Narrow further
Other keywords in the matching articles: the share of them that mention each, with the number of articles. The search icon searches for artificial intelligence and that keyword instead of AI safety, keeping the text, sources, source type and time range.
Coverage by source
The share of each source's stories in the last 7 days that match the query, from left to right. Sort the table to reorder the bars.
Source lean:leftcenterright
Source leans by Media Bias/Fact Check.
| The New York Times | 0.3% | 1 | 306 |
| TIME | 1.4% | 1 | 70 |
| CNBC | 0.6% | 2 | 328 |
| The Atlantic | 1.4% | 1 | 71 |
| Axios | 1.3% | 1 | 79 |
| Semafor | 1.2% | 2 | 170 |
| Forbes | 0.3% | 1 | 408 |
| UPI | 0.6% | 1 | 161 |
| CBS News | 0.6% | 3 | 486 |
| Washington Examiner | 0.3% | 1 | 332 |
| The Free Press | 2.6% | 1 | 39 |
| The Daily Caller | 0.6% | 1 | 176 |
| Newsmax | 0.3% | 1 | 293 |
| Breitbart | 0.2% | 1 | 430 |
Coverage by lean
The share of stories that match the query, in the last 7 days, averaged over the outlets of each political lean with at least 3 stories. The groups differ in size, so a single outlet weighs more in the smaller ones.
- Left-leaning5 of 15 sources
- 0.3%
- Least biased3 of 8 sources
- 0.3%
- Right-leaning6 of 15 sources
- 0.3%
Lean index +0.3: covered about evenly across the spectrum
Each outlet at its MBFC bias score, from −10 (far left) to +10 (far right), as high as the share of its stories that match the query. The lean index is the average score of the outlets covering it, weighted by that share.
lean indexour sources' average (+0.4)leftcenterright
Bias scores by Media Bias/Fact Check.
3 sources have no MBFC bias score and are not shown.
Source leans based on ratings by Media Bias/Fact Check.